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GCP Data Engineer Training in Chennai
Best GCP Data Engineer Training in Chennai
The Google Cloud Platform (GCP) is an all-encompassing cloud-computing services system that offers a broad scope of applications and services to assist companies with all data repositories and computing resources to machine artificial intelligence and the creation of applications. Not only big businesses, but GCP is also free of charge in the small businesses and individual developer’s case. It is no wonder why more individuals are embracing this technology daily with its new features and products that are ever-expanding.
12 Modules
with Certifications
Certificate
After Completion
English
Language
The GCP Data Engineer Training in Chennai at Version IT will make you stand out among others in the industry. You will be empowered by our world-leading Google Cloud Platform Data Engineer course, to do everything- develop and design as well as manage securely accessible cloud solutions. Under our carefully collected advice, you will be empowered with the ability and the confidence to land those desired career opportunities in the dynamic discipline of Cloud Technology.
Do not settle for less. Select Version IT and start to realize your technical potential on promising career dynamics.
Version IT’s GCP Certification Course Features
Placement Excellence We provide candidates with a wide practical experience in terms of 100 percent placement at top MNCs. | Practical Training Live projects, lab work, simulated real-world experiences Exposure to practically useful experience. | Professional Guidance Online and classroom training with accredited trainers to enable you to learn the art and science of GCP. |
Value-Adding Credentials High-value certifications certify your GCP knowledge and make you credible to the profession. We are certified either through online proctoring or through our testing centre. | Manageable Approach Flexible learning plans tailored to your training needs, learning style and area of particular interest in GCP. | Self-Paced Training The structure of program and learning sessions that are conveniently made to fit your learning style and pace to achieve proper understanding. |
Instructor-led Training 5 hours of intensive, interactive, and thorough classes in the presence of experienced professionals in the industry. | Direct Teaching The individual sessions with the teacher to assist you in clearing your confusion and finding solutions to your questions. | Lifetime Guidance The moment you enroll, you will have lifetime access into how many batches you want to attend to refresh your training. |
Prerequisites to Our GCP Training
It will optimize the learning experience when utilizing our Google Cloud Platform training with prior knowledge and experience in Linux, Python, and Network Administration.
Moreover, the clear awareness of cloud computing terms and its basic principles will also become supportive towards a more exciting and satisfying educational experience. Such background information is not required, but it might greatly enrich the experience of your training and allow you to understand the intricate elements of the course in a smoother manner.
GCP Data Engineering Course Syllabus
- Introduction to GCP Data Engineering.
- Identity and access management at Google Cloud.
- Learning Google Cloud Regions and Zones.
- Google Cloud Virtual Machines.
- Google Cloud Virtual Private Cloud (VPC).
- Google Cloud load balancing and auto scaling.
Benefits of Attending GCP Data Engineer Online Training in Chennai at Version IT
At Version IT, you will be provided with top-of-the-market training and GCP certification. The following are benefits that you reap upon enrolling into our GCP Data Engineer Online Training in Chennai:
Customized Strategies Properly individualized training modalities are the most appropriate to you in terms of your learning pace. Our intention is to make sure that you are able to live up to your full potential and reach your career objectives with a better learning experience. | Solid Mentorship Google Cloud professionals will guide and coach you on your way to certification. Our specialists will be able to advise you, so you can focus on Data Engineering and Analytics or Machine Learning. |
Easy Accessibility Live online training sessions facilitated by instructors around the world so that you are able to learn whichever part of the globe you happen to be. You can attend your classes on a daily basis on any gadget that has access to the internet. | Practical Skills Advice on solution designs on Google Cloud platform and relocating workloads that other cloud providers already have. We give you practical and extensive skills. |
Insightful Interactions Useful exposure to retail, healthcare, ecommerce, gaming and media and entertainment clientele to expand your knowledge and capability to address industry-wide needs. | Full-on Support We have instructors who are available by mail, telephone, video or live chat. Our students will be able to go to their specific tutors to seek clarification on the questions or have their questions answered. And when you are interested in the most complete training on GCP in Chennai, reach out to us! |
Elevate Your Career into GCP Data Engineer now at Version IT
Topics You will Learn
Designing data processing systems
Designing flexible data representations. Considerations include:
- future advances in data technology
- changes to business requirements
- awareness of current state and how to migrate the design to a future state
- data modeling
- tradeoffs
- distributed systems
- schema design
Designing data pipelines. Considerations include:
- future advances in data technology
- changes to business requirements
- awareness of current state and how to migrate the design to a future state
- data modeling
- tradeoffs
- system availability
- distributed systems
- schema design
- common sources of error (eg. removing selection bias
Designing data processing infrastructure. Considerations include:
- future advances in data technology
- changes to business requirements
- awareness of current state, how to migrate the design to the future state
- data modeling
- tradeoffs
- system availability
- distributed systems
- schema design
- capacity planning
- different types of architectures: message brokers, message queues, middleware, serviceoriented
Building and maintaining data structures and databases
Building and maintaining flexible data representations
Building and maintaining pipelines. Considerations include:
- data cleansing
- batch and streaming
- transformation
- acquire and import data
- testing and quality control
- Connecting to new data sources
Building and maintaining processing infrastructure. Considerations include:
- provisioning resources
- monitoring pipelines
- adjusting pipelines
- testing and quality control
Analyzing data and enabling machine learning
Analyzing data. Considerations include:
- data collection and labeling
- data visualization
- dimensionality reduction
- data cleaning/normalization
- defining success metrics
Machine learning. Considerations include:
- feature selection/engineering
- algorithm selection
- debugging a model
Machine learning model deployment. Considerations include:
- performance/cost optimization
- online/dynamic learning
Ensuring reliability
Performing quality control. Considerations include:
- verification
- building and running test suites
- pipeline monitoring
Assessing, troubleshooting, and improving data representations and data processing
infrastructure.
Recovering data. Considerations include:
- planning (e.g. fault-tolerance)
- executing (e.g., rerunning failed jobs, performing retrospective re-analysis)
- stress testing data recovery plans and processes
Data Structures or Collections
- Applications of Data structures
- Types of Collections
- Sequence
- Strings, List, Tuple, range
- Non sequence
- Set, Frozen set, Dictionary
- Strings
- What is string
- Representation of Strings
- Processing elements using indexing
- Processing elements using Iterators
- Manipulation of String using Indexing and Slicing
- String operators
- Methods of String object
- String Formatting
- String functions
- String Immutability
- Case studies
Tuple Collection
- What is tuple?
- Different ways of creating Tuple
- Method of Tuple object
- Tuple is Immutable
- Mutable and Immutable elements of Tuple
- Process tuple through Indexing and Slicing
- List v/s Tuple
Visualizing data and advocating policy
- Building (or selecting) data visualization and reporting tools. Considerations include:
automation - decision support
- data summarization, (e.g, translation up the chain, fidelity, trackability, integrity)
Advocating policies and publishing data and reports.
Designing for security and compliance
Designing secure data infrastructure and processes. Considerations include:
- Identity and Access Management (IAM)
- data security
- penetration testing
- Separation of Duties (SoD)
- security control
- Designing for legal compliance. Considerations include:
legislation (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children’s
Online Privacy Protection Act (COPPA), etc.) - audits
Operators
- Arithmetic Operators
- Comparison Operators
- Python Assignment Operators
- Logical Operators
- Bitwise Operators
- Shift operators
- Membership Operators
- Identity Operators
- Ternary Operator
- Operator precedence
- Difference between “is” vs “==”
Control Statements
- Conditional control statements
- If
- If-else
- If-elif-else
- Nested-if
- Loop control statements
- for
- while
- Nested loops
- Branching statements
- Break
- Continue
- Pass
- Return
- Case studies
List Collection
- What is List
- Need of List collection
- Different ways of creating List
- List comprehension
- List indices
- Processing elements of List through Indexing and Slicing
- List object methods
- List is Mutable
- Mutable and Immutable elements of List
- Nested Lists
- List_of_lists
- Hardcopy, shallowCopy and DeepCopy
- zip() in Python
- How to unzip?
- Python Arrays:
- Case studies
Set Collection
- What is set?
- Different ways of creating set
- Difference between list and set
- Iteration Over Sets
- Accessing elements of set
- Python Set Methods
- Python Set Operations
- Union of sets
- functions and methods of set
- Python Frozen set
- Difference between set and frozenset ?
- Case study
Let Your Certificates Speak
- Comprehensive training in GCP Data Engineer.
- Certificates are globally recognized & they upgrade your programming profile.
- Certificates are generated after the completion of course.
All You Need to Start this Course
- Basic understanding of data concepts, SQL, and programming languages like Python.
- Familiarity with cloud computing concepts and prior experience with any cloud platform would be beneficial but not mandatory.
Testimonials
I had the pleasure of attending version IT for devops course training in Ameerpet, Hyderabad.The phani sir training is highly skilled and have a great passion in terms of understanding. They make each student feel very confident and provide a great learning environment. The course material is very comprehensive and well-structured, making is to follow.
Recently I joined Azure (virtual) personally,I suggest... if anyone wants to learn Azure, you should join the Version IT Institute. because their teaching is phenomenal. Even though I am an online student, I have a great experience. The way of explanation is very understandable, providing daily notes through pdf/docx format and faculty is available 24*7 to clarify doubts. I am really glad that I joined Version IT, after joining your Institute... My skills have improved. Thank you so much for your guidance.
Gained Good knowledge and experience in Version IT. I joined here for a Salesforce CRM course and was attending online classes. My trainer was excellent the telling the way he taught was really amazing. No matter how difficult a concept is he narrates in such a way that you can understand easily. But need to have some interest first.
The training was highly informative and well and real world insights and practical tools, making it a valuable learning experience. Version IT is the best institute for GCP Devops Training in Hyderabad.
Still Having Doubts?
You will provide an experience of working with Google Cloud services, namely, computing, storage, networking, and Big Query. The course includes the fundamental GCP concepts, architecture, IAM, and deployment. It is created to make you ready to work in the real world of clouds, practical labs, and expert advice is handled to create and operate scalable, secure, and efficient cloud solutions.
The Version IT which is one of the leading GCP Data Engineer Training Institute usually provides between 6 to 8 weeks of training to be completed depending on the batch application (weekday or weekend). The schedule consists of lectures by the instructor, practical classes, and projects to be studied to make sure everyone grasps all the details. Its ease of scheduling and professional delivery of learning makes it suitable to both the working professionals and the new graduates.
G Suite (since renamed Google Workspace) is a suite of business collaboration software such as Gmail, Docs, and Drive. Google Cloud Platform (GCP) is, in contrast, a set of cloud-computing services that are employed to host applications, store data, and execute machine learning or analytics, which is mainly aimed at developers and businesses.
Hundreds of the most advanced applications and businesses run GCP, such as Spotify, Snapchat, PayPal, Twitter, and HSBC. These platforms utilize GCP to have a scalable infrastructure, machine learning, data analytics, and performance across the globe. GCP is versatile and has strong APIs, which makes it a popular solution among enterprises and startups of all industries.
Yes, Version IT provides post training placement support following GCP. This involves resume development, simulation interviews and networking to recruitment partners. The placement team collaborates with trainees to align with the pertinent opportunities, so that they are industry-ready and assured of employment in the cloud computing and GCP related job profiles.
